Pfizer GBI AI China Solutions Sr. Specialist in Beijing, China
Work closely with teams across Pfizer China to maximize the use of data in answering key questions related to: acceleration of drug discovery efforts, identification of drug repurposing opportunities, optimization of clinical trial activities, improving patient access to Pfizer therapies through a better understanding of outcomes & patterns of care, and maximizing the value of our interactions with patients, healthcare providers, payers, and regulatory agencies.
Partner closely with local Business Technology teams to define and execute technology POCs using innovative technologies to advance Pfizer's analytics and AI capabilities
Partner closely with the global AI CoE team to co-develop analytics & other re-usable components that will serve as the foundation for a scalable approach for Pfizer's analytics and AI maturation
Develop efficient analytic pipelines that include components related to data acquisition, exploratory analysis, feature engineering, modeling, and interactive storytelling.
Shared-ownership of advancing team's analytics and AI capabilities through the ability to implement and execute on state-of-the-art approaches
Produce actionable data presentations and visualizations for decision makers throughout the organization
Directly engage with key business stake-holders (Director level)
Informal leadership of project teams comprised of Associate/Sr. Associate level colleagues
5+ years' experience working as a data scientist / ML engineer
3+ years working with semi-structured and unstructured data
2+ years working in a cloud based ecosystem
Advanced degree in Computer Science, Operations Research, Data Science, Applied Mathematics or related field
Proven experience in at least two of the three following categories:
Data Science / Machine Learning
Expertise with general-purpose statistics/machine learning algorithms and at least one of the following sub-disciplines: Natural Language Processing, Deep Learning, Network Analysis.
Expertise with the implementation of algorithms within Python, R or Scala
Expertise with model tuning, validation and evaluation
Experience with SQL development, database administration and performance tuning
Experience with data manipulation and extraction using modern programming languages (Java, C++, C#, Python, Scala, Spark, etc.)
Experience with Unix/Linux development - package management, knowledge of filesystems, performance monitoring/troubleshooting
Experience with NoSQL databases (MongoDB, Cassandra, etc.)
Machine Learning Engineering
Experience building production implementations of data science and engineering pipelines
Experience developing production-grade components within a larger ecosystem
Experience with sourcing data from APIs; experience building APIs is a plus
Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data sets
Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience
Ability to communicate the results of complex analysis to non-technical audiences via effective visualizations and presentations
Excellent written and verbal communication skills
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.